scholarly journals The More You See

2016 ◽  
Vol 138 (10) ◽  
pp. 36-41 ◽  
Author(s):  
Jean Thilmany

This study discusses about the future of augmented reality (AR) and its capability to transform engineering design. AR lets designers visualize parts such as the motorcycle cladding, fuel-tank cover, and seal. AR’s possibilities have spurred major engineering software companies such as Bentley Systems, Siemens PLM, and Autodesk, and even the software behemoth Microsoft, to invest in AR for engineering, manufacturing, and plant design. Merging engineering software and AR could let engineers suspend 3D models in midair and tweak them in real time. In AR’s new era, wearable headsets are smaller, less bulky, and far more user friendly than older AR devices. They are also reliable, affordable, and do not tie their wearers by cord to a computer system. New AR applications have let auto mechanics gaze through headsets for visual guidance as they repaired car engines. It is predicted that AR will also be useful for the Internet of Things and the Industrial Internet of Things.

Author(s):  
Vishwas D. B. ◽  
Gowtham M. ◽  
Gururaj H. L. ◽  
Sam Goundar

In the era of mechanical digitalization, organizations are progressively putting resources into apparatuses and arrangements that permit their procedures, machines, workers, and even the products themselves to be incorporated into a solitary coordinated system for information assortment, information examination, the assessment of organization advancement, and execution improvement. This chapter presents a reference guide and review for propelling an Industry 4.0 venture from plan to execution, according to base on the economic and scientific policy of European parliament, applying increasingly effective creation forms, and accomplishing better profitability and economies of scale may likewise bring about expanded financial manageability. This chapter present the contextual analysis of a few Industry 4.0 applications. Authors give suggestions coordinating the progression of Industry 4.0. This section briefly portrays the advancement of IIoT 4.0. The change of ubiquitous computing through the internet of things has numerous difficulties related with it.


Author(s):  
Yu. MELESHKO

The article considers the problems of the development of the industrial Internet of things in the Republic of Belarus as one of the system-forming technologies in the industrial sector. Based on the analysis of terminological features of the Internet of things, the concept and main characteristics of the industrial Internet of things are revealed. The economic consequences of using this technology in industrial production are shown. The formation and development of the Internet market of things in the Republic of Belarus in the context of its infrastructure component, spheres of use, main producers and consumers is considered. The factors preventing the wider use of the Internet of things in the industry of Belarus, and the development prospects of the market under consideration are revealed.


2021 ◽  
Vol 16 (92) ◽  
pp. 72-81
Author(s):  
Emil A. Gumerov ◽  
◽  
Tamara V. Alekseeva ◽  

Cyber-physical systems are a means of effectively managing industrial applications of the Internet of things. Physical layer cyber-physical system implements the control devices of the industrial Internet of things and intelligent algorithms digital system level provide management and information security applications. Effective management and information security determine the success of the industrial Internet of things, so the research topic is relevant. The purpose of this article is to develop an optimal architecture of a cyber-physical system based on the principles of data processing at the place of their occurrence and the application of a control action at the place of the problem occurrence. The authors were faced with the task of exploring all the possibilities associated with the application of the proposed principles and developing an optimal application architecture for the industrial Internet of things. In the study proposed the concept of intelligent application of industrial Internet of things, which enables processing of continuously generated data in their source and provides application control action to the location of the problem. The proposed solution: a) increases the information security of the industrial application of the Internet of things (data is not transmitted over the network) and b) prevents an attack on the software of the Industrial application of the Internet of things. The solution can be used by developers of industrial IoT systems to effectively launch and implement projects


Robotic systems can already proactively monitor and adapt to changes in a production line. Nowadays, internet of things and robotic systems are key drivers of technological innovation trends.Majorcompanies are now making investments in machine learning-powered approaches to improve in principle all aspects of manufacturing. Connecteddevices, sensors, and similar advancements allow people and companies to do things they wouldn't even dream of in earlier eras.For realizing it time series feature extraction approach is selected.Industrial internet of things solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, the industrial internet of things has significantly improved reliability, production, and customer satisfaction. The internet of things and robotics arecoming together to create the internet of robotic things. Industrial internet of thingis a subset of industry4.0. Itcan encourage smartness at a bigger level in industrial robots.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2019
Author(s):  
Sascha Eichstädt ◽  
Maximilian Gruber ◽  
Anupam Prasad Vedurmudi ◽  
Benedikt Seeger ◽  
Thomas Bruns ◽  
...  

The Internet of Things (IoT) is characterized by a large number of interconnected devices or assets. Measurement instruments in the IoT are typically digital in the sense that their indications are available only as digital output. Moreover, a growing number of IoT sensors contain a built-in pre-processing system, e.g., for compensating unwanted effects. This paper considers the application of metrological principles to such so-called “smart sensors” in the IoT. It addresses the calibration of digital sensors, mathematical and semantic approaches, the communication of data quality and the meaning of traceability for the IoT in general.


2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov

Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.


Author(s):  
Erfen Gustiawan Suwangto

The Fourth Industrial Revolution (4IR) is the fourth major industrial era since the initial Industrial Revolution of the 18th century. It is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres collectively referred to as cyber-physical systems1. It is marked by emerging technology breakthroughs in a number of fields, including robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology, the Internet of Things, the Industrial Internet of Things (IIoT), fifth-generation wireless technologies (5G), additive manufacturing/3D printing and fully autonomous vehicles.........


Author(s):  
Gordana Gardašević ◽  
Lazar Berbakov ◽  
Aleksandar Mastilović

The Internet of Things (IoT) is an emerging and even revolutionary technology with an immense impact on our everyday life. The Industrial Internet of Things (IIoT) is a fast-growing technology that increases productivity and efficiency by combining the IoT platform with an existing industrial environment. IIoT networks are one of the main pillars for the success of the future Industry 4.0 and Cyber-Physical System (CPS) paradigm. The IIoT ecosystem represents a network of connected industrial devices that exchange and analyze collected data to enable new insights into industrial processes. Recently, intensive research activities have focused on cybersecurity issues for the IIoT. This chapter addresses the critical components of the IIoT security framework by analyzing the relevant aspects and providing an overview of state-of-the-art activities in this field. This chapter also discusses the IIoT architectural structure, applications, and underlying networking technologies, with a particular focus on security challenges and standardization activities.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haizhong Qian

As a perception enabling technology of the Internet of Things, RFID can quickly identify target objects. The tag-to-tag collision problem seriously affects the identification performance of the RFID system, which causes the reader to be unable to accurately identify any tag within the specific time. The mainstream anticollision algorithms are limited by the performance bottleneck under the standard framework. In this paper, we analyze the features and merits of three kinds of algorithms in detail and propose a new algorithm architecture for RFID anticollision. Through the extensive experimental results comparison, we prove that the new architecture is effective to improve the performance of DFSA algorithms. Finally, we summarize the future research trends in the RFID anticollision algorithms.


Author(s):  
Ricardo Raimundo ◽  
Albérico Travassos Rosário

Nowadays, people live amidst the smart home domain, business opportunities in the industrial smart city and health care, though, along with concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited in what comes to machine resources. In this way, traditional security does not fit in IoT systems. In this vein, the issue of cyber security has become paramount to the Internet of Things (IoT) and Industrial Internet of Things (IIoT) in mitigating cyber security risk for organizations and end users. New cyber security technologies / applications present improvements for IoT security management. Nevertheless, there is a gap on the effectiveness of IoT cyber risk solutions. This review article discusses the, trends around opportunities and threats in cyber security for IIoT.


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